Cisco Systems, Inc.-posted about 1 month ago
Full-time • Mid Level
Milpitas, CA
5,001-10,000 employees
Professional, Scientific, and Technical Services

The SaaS Engineering organization within the Cisco Networking Group is committed to revolutionizing the deployment of generative AI applications. Our mission is to improve IT visibility and deliver comprehensive analytics for the AI infrastructure stack. By using ground-breaking technologies, we are developing next-generation SaaS-based controllers designed to efficiently manage Data Centers with AI/ML solutions like Nexus Hyper-Fabric. As a highly skilled DevOps Tools engineer, you will support the entire team with your extensive technical knowledge and passion for your work. You are committed to designing, deploying, and maintaining a modern build pipeline in a SaaS production environment. You will collaborate closely with Operations and QA teams to develop a highly reliable and observable build system. Your work will impact our org's engineering quality and velocity, and ultimately the quality of product we deliver to our customers.

  • Optimize and maintain builds and CI/CD pipelines using your expertise in Kubernetes, Docker, Gradle, and Jenkins.
  • Extract health metrics from the CI/CD pipelines and create informative dashboards and alerts.
  • Deploy infrastructure in the build environment to enhance performance, security, and visibility.
  • Design and develop features for the Infrastructure
  • Expertise with CI/CD systems like Jenkins or Github Action.
  • Expertise with containerization technologies such as Docker, orchestration tools like Kubernetes.
  • Bachelor's Degree in Computer Science or a related field.
  • 7+ years of experience supporting software build systems.
  • Experience programming with two or more languages such as Go, Python, Bash, Java, C, C++.
  • Experience with multi-language builds using Gradle OR other build automation tools like Maven or Ant.
  • Experience with cloud providers like AWS, Azure, GCP.
  • Understanding of key operating systems concepts.
  • Linux system administration.
  • Experience with IaC using tools such as Terraform or Ansible.
  • Experience with AI agents, MCP, similar technologies.
  • Experience with Gradle.
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